A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations

Shih Ting Fong; Chun Jung Wang; Chuei-Tin Chang

doi:10.1109/ADCONIP.2017.7983821

A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations

Shih Ting Fong, Chun Jung Wang, Chuei-Tin Chang

Department of Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.

Original language	English
Title of host publication	2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	442-447
Number of pages	6
ISBN (Electronic)	9781509043972
DOIs	https://doi.org/10.1109/ADCONIP.2017.7983821
Publication status	Published - 2017 Jul 18
Event	6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan Duration: 2017 May 28 → 2017 May 31

Publication series

Name	2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017

Other

Other	6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
Country	Taiwan
City	Taipei
Period	17-05-28 → 17-05-31

All Science Journal Classification (ASJC) codes

Process Chemistry and Technology
Industrial and Manufacturing Engineering
Control and Optimization
Modelling and Simulation

Access to Document

10.1109/ADCONIP.2017.7983821

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Fong, S. T., Wang, C. J., & Chang, C-T. (2017). A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 (pp. 442-447). [7983821] (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ADCONIP.2017.7983821

Fong, Shih Ting ; Wang, Chun Jung ; Chang, Chuei-Tin. / A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 442-447 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).

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title = "A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations",

abstract = "Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.",

author = "Fong, {Shih Ting} and Wang, {Chun Jung} and Chuei-Tin Chang",

year = "2017",

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Fong, ST, Wang, CJ & Chang, C-T 2017, A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. in 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017., 7983821, 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Institute of Electrical and Electronics Engineers Inc., pp. 442-447, 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Taipei, Taiwan, 17-05-28. https://doi.org/10.1109/ADCONIP.2017.7983821

A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. / Fong, Shih Ting; Wang, Chun Jung; Chang, Chuei-Tin.

2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 442-447 7983821 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Fong ST, Wang CJ, Chang C-T. A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 442-447. 7983821. (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). https://doi.org/10.1109/ADCONIP.2017.7983821